Python videos | Python Part 18 - NumPy

Posted by Andy Brown on 10 November 2021


The NumPy module in Python lets you create and manipulate single-axis or multi-dimensional arrays. This tutorial will (among other things) show you how to create, multiply, sort, filter, join, slice, transpose, flatten and clip arrays using NumPy!

This video is currently only available to YouTube channel members in the appropriate tier. If you’re already a channel member, you can watch the video on YouTube; otherwise, click here to see the perks of becoming a channel member.

If you're not a channel member, don't worry - the video will be released publicly after a short period of member exclusivity.

This video has the following accompanying files:

File name Type Description
Premier League points.xlsx Excel workbook Excel Workbook of Premier League points
Useful links.txt Text file Useful links for tutorial
A - basic arrays.py Python code Creating basic arrays
B - data types.py Python code Working with data types
Data types.png Image The different data types you can use
C - ways to create arrays.py Python code Different ways to create NumPy arrays
D - slicing arrays.py Python code Slicing arrays
E - Aggregation.py Python code Aggregating using sum etc
F - dot versus multiply.py Python code The principle of array multiplication
G - premier league points.py Python code Multiplying arrays to get points scored
H - sorting arrays.py Python code Sorting arrays
I - join arrays.py Python code Stacking and concatenating arrays
J - other things you can do.py Python code Other array techniques

Click to download a zipped copy of the above files.

After watching this video, you may like to test your understanding by doing one or more of the following exercises:

You can also download the answers to each exercise from the links above.

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